Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch] - gasparian/multiclass-semantic-segmentation

Contribute to google-research/multilingual-t5 development by creating an account on GitHub.

We reached out to further members of the AI community for their recommendations of papers which everyone should be reading! All of the cited papers are free to access and cover a range of topics from some incredible minds.

We are releasing Detection Transformers (DETR), an important new approach to object detection and panoptic segmentation. It’s the first object detection framework to successfully integrate Transformers as a central building block in the detection pipeline.

Repository for TweetEval. Contribute to cardiffnlp/tweeteval development by creating an account on GitHub.

A curated list of pretrained sentence and word embedding models - Separius/awesome-sentence-embedding

Learn the essentials of statistics in this complete course. This course introduces the various methods used to collect, organize, summarize, interpret and reach conclusions about data. An emphasis is placed on demonstrating that statistics is more than mathematical…

The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.

All about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML

Follow for quality content amid all the noise in #AI.

Machine learning models are trained on copious amounts of data. This approach works for big tech giants, but it puts early stage startups in a disadvantageous position.

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time!

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